Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Leilei Kou"'
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 745 (2024)
Employing different bands of radar to detect precipitation information in identical regions enables the acquisition of a more comprehensive precipitation cloud structure, thereby refining the continuity and completeness of precipitation measurements.
Externí odkaz:
https://doaj.org/article/c8464d7ada954e6aa8452e7c5ea0a3fc
Publikováno v:
Remote Sensing, Vol 11, Iss 22, p 2714 (2019)
The measurement error of differential reflectivity (ZDR), especially systematic ZDR bias, is a fundamental issue for the application of polarimetric radar data. Several calibration methods have been proposed and applied to correct ZDR bias. However,
Externí odkaz:
https://doaj.org/article/a1df149bc90140e88b3522e98aaa5a98
Publikováno v:
Hydrology, Vol 5, Iss 3, p 48 (2018)
Reflectivity factor bias caused by radar calibration errors would influence the accuracy of Quantitative Precipitation Estimations (QPE), and further result in spatial discontinuity in Multiple Ground Radars QPE (MGR-QPE) products. Due to sampling di
Externí odkaz:
https://doaj.org/article/624aed784ca5434b824c74d68f60d84b
Publikováno v:
Journal of Hydrometeorology. 23:153-165
The error characterization of rainfall products of spaceborne radar is essential for better applications of radar data, such as multisource precipitation data fusion and hydrological modeling. In this study, we analyzed the error of the near-surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a9cbc3978c391c5d63bfddd7271e683
https://doi.org/10.1175/jhm-d-21-0173.1
https://doi.org/10.1175/jhm-d-21-0173.1
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dfe1ddd6598bd9551ad4176d4376d39
https://doi.org/10.1109/lgrs.2022.3143118
https://doi.org/10.1109/lgrs.2022.3143118
Publikováno v:
eISSN
This study presents a simulation framework for cloud and precipitation measurements via spaceborne millimeter wave radar composed of nine sub modules. To demonstrate the influence of the assumed physical parameters and optimizing the microphysical mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::268c7905f1f6ad744e636bacd14154fe
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-886/
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-886/
Autor:
Jiaxuan Miao, Haiyang Gao, Leilei Kou, Yehui Zhang, Yan Li, Zhigang Chu, Lingbing Bu, Zhen Wang
Publikováno v:
Journal of Geophysical Research: Atmospheres. 127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac94bd8db37f7c9acc30ce75424cda69
https://doi.org/10.1029/2022jd036912
https://doi.org/10.1029/2022jd036912
Publikováno v:
Advances in Atmospheric Sciences. 37:1359-1374
With the increasing availability of precipitation radar data from space, enhancement of the resolution of spaceborne precipitation observations is important, particularly for hazard prediction and climate modeling at local scales relevant to extreme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fadae7a01f1aac82518a01ceb597976e
https://doi.org/10.1007/s00376-020-0035-5
https://doi.org/10.1007/s00376-020-0035-5
Autor:
Leilei Kou, Ying Mao, Zhixuan Wang, Zhengjian Lin, Yao Chen, Haiyang Gao, Zhigang Chu, Aijun Chen
Publikováno v:
Atmospheric Research. 282:106521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d825494596b99751b6dab16485e881dd
https://doi.org/10.1016/j.atmosres.2022.106521
https://doi.org/10.1016/j.atmosres.2022.106521